xAI Lab Members


Randy Goebel
Randy Goebel
Principal Investigator
rgoebel (at) ualberta.ca

R.G. (Randy) Goebel is currently professor of Computing Science in the Department of Computing Science at the University of Alberta, Associate Vice President (Research) and Associate Vice President (Academic), and Fellow and co-founder of the Alberta Machine Intelligence Institute (AMII). He received the B.Sc. (Computer Science), M.Sc. (Computing Science), and Ph.D. (Computer Science) from the Universities of Regina, Alberta, and British Columbia, respectively.

Professor Goebel's theoretical work on abduction, hypothetical reasoning and belief revision is internationally well know, and his recent research is focused on the formalization of visualization and explainable artificial intelligence (XAI). He has worked on optimization, algorithm complexity, systems biology, and natural language processing, including applications in legal reasoning and medical informatics.

Randy has previously held faculty appointments at the University of Waterloo, University of Tokyo, Multimedia University (Kuala Lumpur), Hokkaido University (Sapporo), visiting researcher engagements at National Institute of Informatics (Tokyo), DFKI (Germany), and NICTA (now Data61, Australia); is actively involved in collaborative research projects in Canada, Japan, China, and Germany.


Osmar Zaine
Osmar Zaiane
Principal Investigator
zaiane (at) ualberta.ca

Osmar R. Zaiane is a researcher, computer scientist, professor at the University of Alberta specializing in data mining and machine learning


Greg Kondrak
Greg Kondrak
Principal Investigator
gkondrak (at) ualberta.ca

My area of research is Natural Language Processing (NLP), or, more broadly, Computational Linguistics.


Andreas HOLZINGER
Andreas HOLZINGER
Colloborator
andreas.holzinger (at) medunigraz.at

Andreas Holzinger is lead of the Human-Centered AI Lab (Holzinger Group) at the Medical University Graz and since 2016 he is Visiting Professor for machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning & Knowledge Extraction in Verona; the RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Commission. He is in the advisory board of the Artificial Intelligence Strategy “AI Made in Germany 2030” of the German Federal Government and in the advisory board of the “Artificial Intelligence Mission Austria 2030”. Andreas Holzinger promotes a synergistic approach to Human-Centred Artificial Intelligence (HC-AI) and has pioneered in interactive machine learning (iML) with the human-in-the-loop. Andreas’ goal is to augment human intelligence with artificial intelligence to help to solve problems in health informatics. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and his second Ph.D. in Computer Science from TU Graz in 2003. He serves as Austrian Representative for AI in IFIP TC 12, he is organizer of the IFIP Cross-Domain Conference “Machine Learning & Knowledge Extraction (CD-MAKE)” and is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI, the Austrian Computer Science and the Association for the Advancement of Artificial Intelligence (AAAI). More information: https://www.aholzinger.at


Juliano Rabelo
Juliano Rabelo
Postdoc
robelo (at) ualberta.ca

Juliano Rabelo has a bachelor degree in Computing Science, a Masters degree in Artificial Intelligence with a focus on Question Answering and a Doctorate degree on Text Classification (all degrees from UFPE/Brazil). Juliano founded and worked at a research-focused company for 10 years, and now he is a postdoc researcher at the xAI Lab. Being passionate about languages and how they are applied in different scenarios, Juliano's current research focus is on Natural Language Processing, Machine Learning and Explainable AI applied to text.


Mi-Young Kim
Mi-Young Kim
Postdoc
miyoung2 (at) ualberta.ca

I have been researching with Prof. Randy Goebel's group since 2009, as a postdoc and research associate. Currently, I'm an assistant professor in Augustana campus, University of Alberta. My research interests are in natural language processing, machine learning, and text analytics. Currently, I'm studying information extraction from legal and medical data.


Nawshad Farruque
Nawshad Farruque
PhD Student
nawshad (at) ualberta.ca

Nawshad is currently a PhD student at the Dept. of Computing Science, UofA, conducting research on Extraction and Modelling of Major Depressive Disorder from Human Language by employing Natural Language Processing and Machine Learning Algorithms. Before that he pursued his Master's degree from the University of Lethbridge, in Distributed Spatial Query Processing and Optimization. Nawshad has extensive experience in developing enterprise softwares through years of experience in software industry. He is originally from Bangladesh.


Housam Babiker
Housam Babiker
PhD Student
khalifab (at) ualberta.ca

Housam is a PhD student at the Dept. of Computing Science, UofA, working on machine learning interptability and explainability


Mohammad Hossein
Mohammad Hossein
Msc Student
motalleb (at) ualberta.ca

BIO


Shahin Atakishiyev
Shahin Atakishiyev
PhD Student
shahin.atakishiyev (at) ualberta.ca

Shahin Atakishiyev is from Mirzabeyli village of Qabala, Azerbaijan. He received his BSc Computer Engineering degree from Qafqaz University (now called Baku Engineering University) on June 2015, and MSc Computer Engineering degree (with specialization in Software Engineering and Intelligent Systems) from the University of Alberta on January 2018. His master’s research was about evaluation of word embeddings using cluster and semantic similarity analysis. As of September 2019 - , he will be a PhD student at the Computing Science Department of the University of Alberta. Shahin’s research interests include Human-Centered Artificial Intelligence (ethical, trustable, explainable), Fuzzy Logic, Machine Learning, and Natural Language Processing.

Education

PhD in Computing Science, University of Alberta, Canada, 2019
MSc in Computer Engineering, University of Alberta, Canada, 2016-2018
BSc in Computer Engineering, Qafqaz University, Azerbaijan, 2010-2015


Talat Syed
Talat Syed
Machine Learning Scientist
talat (at) amii.ca

BIO

Amii xAI Lab Alumni


Yao, Msc - Research Assistant
2017-2018
Position: Msc, University of Waterloo



Amii xAI Lab Visitors


Andreas Holzinger - Visiting Scientist
2019
Position: Human-Centered AI Group Lead @ Meduni Graz


Firas Lethaus - Visiting Scientist
2019
Position: Group Lead of Volkswagen Machine Learning